Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ysouidi/model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ysouidi/model_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ysouidi/model_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ysouidi/model_2") model = AutoModelForSequenceClassification.from_pretrained("ysouidi/model_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae45698d6b55a4545383a57abf13b5d7cd5bb3ea1782d2a6dbfaa1090d59ffc3
- Size of remote file:
- 4.47 kB
- SHA256:
- c2522d9ca927bfddc63172cfbfb0b1c6dba68d51cb201191747598ecb410bc78
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